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Assessment of spatial heterogeneity of winter wheat canopy stand by Sentinel-2 satellite imagery

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43919520" target="_blank" >RIV/62156489:43210/20:43919520 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://mnet.mendelu.cz/mendelnet2020/mnet_2020_full.pdf" target="_blank" >https://mnet.mendelu.cz/mendelnet2020/mnet_2020_full.pdf</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Assessment of spatial heterogeneity of winter wheat canopy stand by Sentinel-2 satellite imagery

  • Popis výsledku v původním jazyce

    Evaluation of cereal plant status and other biophysical parameters, such as nitrogen uptake (Nupt), nitrogen content and total amount of aboveground biomass, is important information for decision support in agronomy for correct treatment of crop management practices. This information could be provided in precision agriculture by remote sensing as an efficient method for the monitoring of crop within field heterogeneity. The aim of this study was to verify the use of satellite images for estimation of agronomic relevant crop parameters of winter wheat, such as nitrogen uptake, amount of aboveground biomass and nitrogen content. Input data were obtained from field trials with winter wheat realized in 2017-2020 at five locations (Otnice, Dolni Dubnany, Zdounky, Rasovice a Kardasova Recice) with total area of 528 ha. The field survey was carried out in sampling grid to estimate total amount of aboveground biomass, nitrogen concentration in plants and nitrogen uptake during vegetation stage BBCH 31-45. Besides the plant sampling, the values of vegetation indices from Sentinel-2 multispectral imagery were obtained to characterise spectral response of plants. The relationship between crop parameters and Sentinel satellite indices was evaluated using the Spearman correlation coefficient. The high correlation coefficient between Nupt and biomass showed a large influence of the amount of aboveground biomass on the consumption of nitrogen. The highest correlation coefficient of vegetation indices to the crop parameters at all localities was achieved by REIP index, which corresponds with the higher sensitivity of the red-edge bands to the chlorophyll content. The results vary among the localities, the highest values for all vegetation indices were reached for the locality Rasovice, on the contrary, the lowest for the locality Zdounky. The most consistent results for all localities were achieved for the vegetation indices NRERI, REIP and RENDVI, which thus appear to be the most universal indices for the diagnosis of plant nutritional status and its within field heterogeneity by satellite multispectral imaging.

  • Název v anglickém jazyce

    Assessment of spatial heterogeneity of winter wheat canopy stand by Sentinel-2 satellite imagery

  • Popis výsledku anglicky

    Evaluation of cereal plant status and other biophysical parameters, such as nitrogen uptake (Nupt), nitrogen content and total amount of aboveground biomass, is important information for decision support in agronomy for correct treatment of crop management practices. This information could be provided in precision agriculture by remote sensing as an efficient method for the monitoring of crop within field heterogeneity. The aim of this study was to verify the use of satellite images for estimation of agronomic relevant crop parameters of winter wheat, such as nitrogen uptake, amount of aboveground biomass and nitrogen content. Input data were obtained from field trials with winter wheat realized in 2017-2020 at five locations (Otnice, Dolni Dubnany, Zdounky, Rasovice a Kardasova Recice) with total area of 528 ha. The field survey was carried out in sampling grid to estimate total amount of aboveground biomass, nitrogen concentration in plants and nitrogen uptake during vegetation stage BBCH 31-45. Besides the plant sampling, the values of vegetation indices from Sentinel-2 multispectral imagery were obtained to characterise spectral response of plants. The relationship between crop parameters and Sentinel satellite indices was evaluated using the Spearman correlation coefficient. The high correlation coefficient between Nupt and biomass showed a large influence of the amount of aboveground biomass on the consumption of nitrogen. The highest correlation coefficient of vegetation indices to the crop parameters at all localities was achieved by REIP index, which corresponds with the higher sensitivity of the red-edge bands to the chlorophyll content. The results vary among the localities, the highest values for all vegetation indices were reached for the locality Rasovice, on the contrary, the lowest for the locality Zdounky. The most consistent results for all localities were achieved for the vegetation indices NRERI, REIP and RENDVI, which thus appear to be the most universal indices for the diagnosis of plant nutritional status and its within field heterogeneity by satellite multispectral imaging.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    MendelNet 2020: Proceedings of International PhD Students Conference

  • ISBN

    978-80-7509-765-1

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    6

  • Strana od-do

    44-49

  • Název nakladatele

    Mendelova univerzita v Brně

  • Místo vydání

    Brno

  • Místo konání akce

    Brno

  • Datum konání akce

    11. 11. 2020

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku